Overview

Dataset statistics

Number of variables27
Number of observations421
Missing cells3338
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.9 KiB
Average record size in memory228.3 B

Variable types

Categorical9
Numeric3
DateTime4
Unsupported6
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),법인구분명,구분명
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20222/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (63.2%)Imbalance
인허가취소일자 has 421 (100.0%) missing valuesMissing
폐업일자 has 210 (49.9%) missing valuesMissing
휴업시작일자 has 421 (100.0%) missing valuesMissing
휴업종료일자 has 421 (100.0%) missing valuesMissing
재개업일자 has 421 (100.0%) missing valuesMissing
전화번호 has 266 (63.2%) missing valuesMissing
소재지면적 has 421 (100.0%) missing valuesMissing
도로명주소 has 38 (9.0%) missing valuesMissing
도로명우편번호 has 245 (58.2%) missing valuesMissing
업태구분명 has 421 (100.0%) missing valuesMissing
좌표정보(X) has 25 (5.9%) missing valuesMissing
좌표정보(Y) has 25 (5.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 16:11:43.972326
Analysis finished2024-04-17 16:11:44.479400
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3200000
421 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 421
100.0%

Length

2024-04-18T01:11:44.526076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:44.594123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 421
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct421
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0097499 × 1018
Minimum1.98932 × 1018
Maximum2.02432 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T01:11:44.680515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.98932 × 1018
5-th percentile2.00132 × 1018
Q12.00432 × 1018
median2.00732 × 1018
Q32.01632 × 1018
95-th percentile2.02232 × 1018
Maximum2.02432 × 1018
Range3.5000012 × 1016
Interquartile range (IQR)1.2000013 × 1016

Descriptive statistics

Standard deviation7.3158697 × 1015
Coefficient of variation (CV)0.003640189
Kurtosis-0.75224682
Mean2.0097499 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.3070643
Sum-2.4455017 × 1018
Variance5.3521949 × 1031
MonotonicityStrictly increasing
2024-04-18T01:11:44.788454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1989320009914512345 1
 
0.2%
2011320019014500018 1
 
0.2%
2013320019014500013 1
 
0.2%
2013320019014500012 1
 
0.2%
2013320019014500011 1
 
0.2%
2013320019014500010 1
 
0.2%
2013320019014500009 1
 
0.2%
2013320019014500008 1
 
0.2%
2013320019014500006 1
 
0.2%
2013320019014500005 1
 
0.2%
Other values (411) 411
97.6%
ValueCountFrequency (%)
1989320009914512345 1
0.2%
1990320007911500001 1
0.2%
1991320007911500001 1
0.2%
1996320007911500001 1
0.2%
1996320007911500002 1
0.2%
1996320007911500004 1
0.2%
1996320009914500020 1
0.2%
1997320007911500001 1
0.2%
1997320007911500002 1
0.2%
1997320007911500003 1
0.2%
ValueCountFrequency (%)
2024320022414500009 1
0.2%
2024320022414500008 1
0.2%
2024320022414500007 1
0.2%
2024320022414500006 1
0.2%
2024320022414500005 1
0.2%
2024320022414500004 1
0.2%
2024320022414500003 1
0.2%
2024320022414500002 1
0.2%
2024320022414500001 1
0.2%
2023320022414500011 1
0.2%

인허가일자
Date

Distinct363
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1990-01-10 00:00:00
Maximum2024-04-15 00:00:00
2024-04-18T01:11:44.896574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:11:45.005317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
304 
1
93 
5
 
17
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 304
72.2%
1 93
 
22.1%
5 17
 
4.0%
4 7
 
1.7%

Length

2024-04-18T01:11:45.114023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:45.190321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 304
72.2%
1 93
 
22.1%
5 17
 
4.0%
4 7
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
304 
영업/정상
93 
제외/삭제/전출
 
17
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length2
Mean length3.1045131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 304
72.2%
영업/정상 93
 
22.1%
제외/삭제/전출 17
 
4.0%
취소/말소/만료/정지/중지 7
 
1.7%

Length

2024-04-18T01:11:45.504493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:45.611487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 304
72.2%
영업/정상 93
 
22.1%
제외/삭제/전출 17
 
4.0%
취소/말소/만료/정지/중지 7
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
40
304 
20
93 
50
 
17
70
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row40
3rd row20
4th row20
5th row40

Common Values

ValueCountFrequency (%)
40 304
72.2%
20 93
 
22.1%
50 17
 
4.0%
70 7
 
1.7%

Length

2024-04-18T01:11:45.700993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:45.778753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 304
72.2%
20 93
 
22.1%
50 17
 
4.0%
70 7
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
304 
영업중
93 
타시군구이관
 
17
등록취소
 
7

Length

Max length6
Median length2
Mean length2.415677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row폐업
3rd row영업중
4th row영업중
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 304
72.2%
영업중 93
 
22.1%
타시군구이관 17
 
4.0%
등록취소 7
 
1.7%

Length

2024-04-18T01:11:45.872120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:45.959527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 304
72.2%
영업중 93
 
22.1%
타시군구이관 17
 
4.0%
등록취소 7
 
1.7%

폐업일자
Date

MISSING 

Distinct195
Distinct (%)92.4%
Missing210
Missing (%)49.9%
Memory size3.4 KiB
Minimum2003-07-31 00:00:00
Maximum2024-03-13 00:00:00
2024-04-18T01:11:46.046221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:11:46.146061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

전화번호
Text

MISSING 

Distinct149
Distinct (%)96.1%
Missing266
Missing (%)63.2%
Memory size3.4 KiB
2024-04-18T01:11:46.411977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.703226
Min length7

Characters and Unicode

Total characters1814
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)92.3%

Sample

1st row02 886 6181
2nd row02 876 1911
3rd row02 873 1488
4th row02 861 2688
5th row02 877 7373
ValueCountFrequency (%)
02 136
33.3%
877 10
 
2.4%
888 8
 
2.0%
873 7
 
1.7%
876 7
 
1.7%
070 5
 
1.2%
855 5
 
1.2%
875 4
 
1.0%
871 4
 
1.0%
858 4
 
1.0%
Other values (188) 219
53.5%
2024-04-18T01:11:46.798030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
21.9%
0 258
14.2%
2 236
13.0%
8 235
13.0%
7 134
 
7.4%
5 124
 
6.8%
3 102
 
5.6%
1 98
 
5.4%
6 86
 
4.7%
4 78
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1417
78.1%
Space Separator 397
 
21.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
18.2%
2 236
16.7%
8 235
16.6%
7 134
9.5%
5 124
8.8%
3 102
 
7.2%
1 98
 
6.9%
6 86
 
6.1%
4 78
 
5.5%
9 66
 
4.7%
Space Separator
ValueCountFrequency (%)
397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
397
21.9%
0 258
14.2%
2 236
13.0%
8 235
13.0%
7 134
 
7.4%
5 124
 
6.8%
3 102
 
5.6%
1 98
 
5.4%
6 86
 
4.7%
4 78
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
21.9%
0 258
14.2%
2 236
13.0%
8 235
13.0%
7 134
 
7.4%
5 124
 
6.8%
3 102
 
5.6%
1 98
 
5.4%
6 86
 
4.7%
4 78
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct45
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
318 
000
 
9
151800
 
9
151015
 
8
151058
 
8
Other values (40)
69 

Length

Max length7
Median length4
Mean length4.4916865
Min length4

Unique

Unique24 ?
Unique (%)5.7%

Sample

1st row151890
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 318
75.5%
000 9
 
2.1%
151800 9
 
2.1%
151015 8
 
1.9%
151058 8
 
1.9%
151018 5
 
1.2%
151057 5
 
1.2%
151836 4
 
1.0%
151060 3
 
0.7%
151010 3
 
0.7%
Other values (35) 49
 
11.6%

Length

2024-04-18T01:11:46.913849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 318
75.5%
151800 9
 
2.1%
000 9
 
2.1%
151015 8
 
1.9%
151058 8
 
1.9%
151018 5
 
1.2%
151057 5
 
1.2%
151836 4
 
1.0%
151014 3
 
0.7%
151853 3
 
0.7%
Other values (35) 49
 
11.6%

지번주소
Text

Distinct403
Distinct (%)96.4%
Missing3
Missing (%)0.7%
Memory size3.4 KiB
2024-04-18T01:11:47.171712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.088517
Min length13

Characters and Unicode

Total characters12577
Distinct characters272
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)93.3%

Sample

1st row서울특별시 관악구 신림동 1409번지
2nd row서울특별시 관악구 신림동 1451번지 29호 4통 9반
3rd row서울특별시 관악구 신림동 75-43
4th row서울특별시 관악구 봉천동 1666번지 41호 3층
5th row경기도 광명시 하안동 호 주공아파트 201 1002
ValueCountFrequency (%)
서울특별시 367
 
13.5%
관악구 301
 
11.1%
신림동 128
 
4.7%
봉천동 81
 
3.0%
1호 42
 
1.5%
경기도 30
 
1.1%
남현동 28
 
1.0%
2반 26
 
1.0%
5반 26
 
1.0%
3호 19
 
0.7%
Other values (862) 1668
61.4%
2024-04-18T01:11:47.557053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2504
19.9%
1 751
 
6.0%
동 443
 
3.5%
호 441
 
3.5%
시 418
 
3.3%
구 408
 
3.2%
서 391
 
3.1%
별 368
 
2.9%
특 367
 
2.9%
울 367
 
2.9%
Other values (262) 6119
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6898
54.8%
Decimal Number 3098
24.6%
Space Separator 2504
 
19.9%
Dash Punctuation 54
 
0.4%
Uppercase Letter 15
 
0.1%
Lowercase Letter 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 443
 
6.4%
호 441
 
6.4%
시 418
 
6.1%
구 408
 
5.9%
서 391
 
5.7%
별 368
 
5.3%
특 367
 
5.3%
울 367
 
5.3%
지 333
 
4.8%
번 319
 
4.6%
Other values (238) 3043
44.1%
Decimal Number
ValueCountFrequency (%)
1 751
24.2%
2 359
11.6%
0 327
10.6%
3 324
10.5%
4 280
 
9.0%
5 266
 
8.6%
6 265
 
8.6%
8 181
 
5.8%
7 177
 
5.7%
9 168
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
L 3
20.0%
A 3
20.0%
S 1
 
6.7%
H 1
 
6.7%
G 1
 
6.7%
C 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
f 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
2504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6898
54.8%
Common 5660
45.0%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 443
 
6.4%
호 441
 
6.4%
시 418
 
6.1%
구 408
 
5.9%
서 391
 
5.7%
별 368
 
5.3%
특 367
 
5.3%
울 367
 
5.3%
지 333
 
4.8%
번 319
 
4.6%
Other values (238) 3043
44.1%
Common
ValueCountFrequency (%)
2504
44.2%
1 751
 
13.3%
2 359
 
6.3%
0 327
 
5.8%
3 324
 
5.7%
4 280
 
4.9%
5 266
 
4.7%
6 265
 
4.7%
8 181
 
3.2%
7 177
 
3.1%
Other values (4) 226
 
4.0%
Latin
ValueCountFrequency (%)
B 5
26.3%
L 3
15.8%
A 3
15.8%
i 2
 
10.5%
f 1
 
5.3%
S 1
 
5.3%
H 1
 
5.3%
G 1
 
5.3%
C 1
 
5.3%
e 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6898
54.8%
ASCII 5679
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2504
44.1%
1 751
 
13.2%
2 359
 
6.3%
0 327
 
5.8%
3 324
 
5.7%
4 280
 
4.9%
5 266
 
4.7%
6 265
 
4.7%
8 181
 
3.2%
7 177
 
3.1%
Other values (14) 245
 
4.3%
Hangul
ValueCountFrequency (%)
동 443
 
6.4%
호 441
 
6.4%
시 418
 
6.1%
구 408
 
5.9%
서 391
 
5.7%
별 368
 
5.3%
특 367
 
5.3%
울 367
 
5.3%
지 333
 
4.8%
번 319
 
4.6%
Other values (238) 3043
44.1%

도로명주소
Text

MISSING 

Distinct372
Distinct (%)97.1%
Missing38
Missing (%)9.0%
Memory size3.4 KiB
2024-04-18T01:11:47.773286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length32.381201
Min length17

Characters and Unicode

Total characters12402
Distinct characters287
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)94.8%

Sample

1st row서울특별시 관악구 관천로22길 36-1 (신림동)
2nd row서울특별시 관악구 남부순환로 1620, 4층 (신림동)
3rd row서울특별시 관악구 남부순환로 1839, 3층 (봉천동)
4th row서울특별시 관악구 봉천로 461-1, 4층 (봉천동)
5th row서울특별시 관악구 남부순환로 1471 (신림동)
ValueCountFrequency (%)
서울특별시 353
 
15.0%
관악구 300
 
12.8%
신림동 125
 
5.3%
남부순환로 88
 
3.7%
봉천동 87
 
3.7%
2층 28
 
1.2%
남현동 26
 
1.1%
3층 26
 
1.1%
봉천로 22
 
0.9%
4층 20
 
0.9%
Other values (785) 1272
54.2%
2024-04-18T01:11:48.100222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1965
 
15.8%
동 449
 
3.6%
1 449
 
3.6%
시 395
 
3.2%
구 383
 
3.1%
) 380
 
3.1%
( 380
 
3.1%
서 375
 
3.0%
, 370
 
3.0%
울 354
 
2.9%
Other values (277) 6902
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7011
56.5%
Decimal Number 2189
 
17.7%
Space Separator 1965
 
15.8%
Close Punctuation 380
 
3.1%
Open Punctuation 380
 
3.1%
Other Punctuation 370
 
3.0%
Dash Punctuation 80
 
0.6%
Uppercase Letter 23
 
0.2%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 449
 
6.4%
시 395
 
5.6%
구 383
 
5.5%
서 375
 
5.3%
울 354
 
5.0%
특 353
 
5.0%
별 353
 
5.0%
로 346
 
4.9%
관 328
 
4.7%
악 322
 
4.6%
Other values (246) 3353
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
21.7%
A 3
13.0%
R 2
 
8.7%
E 2
 
8.7%
S 2
 
8.7%
L 2
 
8.7%
H 1
 
4.3%
J 1
 
4.3%
Y 1
 
4.3%
O 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 449
20.5%
2 314
14.3%
0 289
13.2%
3 240
11.0%
4 199
9.1%
5 188
8.6%
7 138
 
6.3%
6 133
 
6.1%
8 127
 
5.8%
9 112
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
f 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
1965
100.0%
Close Punctuation
ValueCountFrequency (%)
) 380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 380
100.0%
Other Punctuation
ValueCountFrequency (%)
, 370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7011
56.5%
Common 5364
43.3%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 449
 
6.4%
시 395
 
5.6%
구 383
 
5.5%
서 375
 
5.3%
울 354
 
5.0%
특 353
 
5.0%
별 353
 
5.0%
로 346
 
4.9%
관 328
 
4.7%
악 322
 
4.6%
Other values (246) 3353
47.8%
Latin
ValueCountFrequency (%)
B 5
18.5%
A 3
11.1%
R 2
 
7.4%
E 2
 
7.4%
S 2
 
7.4%
L 2
 
7.4%
i 2
 
7.4%
H 1
 
3.7%
J 1
 
3.7%
Y 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
1965
36.6%
1 449
 
8.4%
) 380
 
7.1%
( 380
 
7.1%
, 370
 
6.9%
2 314
 
5.9%
0 289
 
5.4%
3 240
 
4.5%
4 199
 
3.7%
5 188
 
3.5%
Other values (5) 590
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7011
56.5%
ASCII 5391
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1965
36.4%
1 449
 
8.3%
) 380
 
7.0%
( 380
 
7.0%
, 370
 
6.9%
2 314
 
5.8%
0 289
 
5.4%
3 240
 
4.5%
4 199
 
3.7%
5 188
 
3.5%
Other values (21) 617
 
11.4%
Hangul
ValueCountFrequency (%)
동 449
 
6.4%
시 395
 
5.6%
구 383
 
5.5%
서 375
 
5.3%
울 354
 
5.0%
특 353
 
5.0%
별 353
 
5.0%
로 346
 
4.9%
관 328
 
4.7%
악 322
 
4.6%
Other values (246) 3353
47.8%

도로명우편번호
Text

MISSING 

Distinct84
Distinct (%)47.7%
Missing245
Missing (%)58.2%
Memory size3.4 KiB
2024-04-18T01:11:48.315610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3181818
Min length5

Characters and Unicode

Total characters936
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)27.3%

Sample

1st row08777
2nd row151834
3rd row151822
4th row151015
5th row151015
ValueCountFrequency (%)
08776 10
 
5.7%
151800 9
 
5.1%
08768 7
 
4.0%
08807 7
 
4.0%
08759 6
 
3.4%
08786 6
 
3.4%
151015 5
 
2.8%
08757 5
 
2.8%
08701 5
 
2.8%
08777 4
 
2.3%
Other values (74) 112
63.6%
2024-04-18T01:11:48.632957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 212
22.6%
0 197
21.0%
7 155
16.6%
1 126
13.5%
5 97
10.4%
6 45
 
4.8%
2 29
 
3.1%
9 28
 
3.0%
4 23
 
2.5%
3 20
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 932
99.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 212
22.7%
0 197
21.1%
7 155
16.6%
1 126
13.5%
5 97
10.4%
6 45
 
4.8%
2 29
 
3.1%
9 28
 
3.0%
4 23
 
2.5%
3 20
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 212
22.6%
0 197
21.0%
7 155
16.6%
1 126
13.5%
5 97
10.4%
6 45
 
4.8%
2 29
 
3.1%
9 28
 
3.0%
4 23
 
2.5%
3 20
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 212
22.6%
0 197
21.0%
7 155
16.6%
1 126
13.5%
5 97
10.4%
6 45
 
4.8%
2 29
 
3.1%
9 28
 
3.0%
4 23
 
2.5%
3 20
 
2.1%

사업장명
Text

Distinct391
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-18T01:11:48.831584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.1235154
Min length2

Characters and Unicode

Total characters2999
Distinct characters333
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)86.5%

Sample

1st row우리들
2nd row전용석직업소개소
3rd row남도직업소개소
4th row서울인력직업소개소
5th row이용철직업소개소
ValueCountFrequency (%)
직업소개소 12
 
2.5%
극동직업소개소 4
 
0.8%
주식회사 4
 
0.8%
현대직업소개소 3
 
0.6%
새빛직업소개소 2
 
0.4%
컨설팅 2
 
0.4%
다산인력 2
 
0.4%
동신취업 2
 
0.4%
동성직업소개소 2
 
0.4%
매일인력 2
 
0.4%
Other values (414) 438
92.6%
2024-04-18T01:11:49.131078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 274
 
9.1%
업 193
 
6.4%
개 153
 
5.1%
인 142
 
4.7%
직 133
 
4.4%
력 121
 
4.0%
주 56
 
1.9%
취 56
 
1.9%
52
 
1.7%
) 50
 
1.7%
Other values (323) 1769
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2739
91.3%
Space Separator 52
 
1.7%
Uppercase Letter 52
 
1.7%
Close Punctuation 50
 
1.7%
Open Punctuation 50
 
1.7%
Lowercase Letter 33
 
1.1%
Decimal Number 17
 
0.6%
Other Punctuation 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 274
 
10.0%
업 193
 
7.0%
개 153
 
5.6%
인 142
 
5.2%
직 133
 
4.9%
력 121
 
4.4%
주 56
 
2.0%
취 56
 
2.0%
정 45
 
1.6%
보 44
 
1.6%
Other values (280) 1522
55.6%
Uppercase Letter
ValueCountFrequency (%)
O 8
15.4%
C 6
 
11.5%
J 4
 
7.7%
S 3
 
5.8%
E 3
 
5.8%
H 3
 
5.8%
I 3
 
5.8%
B 3
 
5.8%
D 2
 
3.8%
K 2
 
3.8%
Other values (10) 15
28.8%
Lowercase Letter
ValueCountFrequency (%)
n 6
18.2%
e 4
12.1%
a 4
12.1%
o 4
12.1%
i 3
9.1%
j 3
9.1%
r 2
 
6.1%
c 2
 
6.1%
b 2
 
6.1%
d 1
 
3.0%
Other values (2) 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
1 6
35.3%
9 2
 
11.8%
4 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
? 1
25.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2739
91.3%
Common 175
 
5.8%
Latin 85
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 274
 
10.0%
업 193
 
7.0%
개 153
 
5.6%
인 142
 
5.2%
직 133
 
4.9%
력 121
 
4.4%
주 56
 
2.0%
취 56
 
2.0%
정 45
 
1.6%
보 44
 
1.6%
Other values (280) 1522
55.6%
Latin
ValueCountFrequency (%)
O 8
 
9.4%
n 6
 
7.1%
C 6
 
7.1%
J 4
 
4.7%
e 4
 
4.7%
a 4
 
4.7%
o 4
 
4.7%
S 3
 
3.5%
E 3
 
3.5%
i 3
 
3.5%
Other values (22) 40
47.1%
Common
ValueCountFrequency (%)
52
29.7%
) 50
28.6%
( 50
28.6%
2 8
 
4.6%
1 6
 
3.4%
9 2
 
1.1%
- 2
 
1.1%
. 2
 
1.1%
4 1
 
0.6%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2739
91.3%
ASCII 260
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 274
 
10.0%
업 193
 
7.0%
개 153
 
5.6%
인 142
 
5.2%
직 133
 
4.9%
력 121
 
4.4%
주 56
 
2.0%
취 56
 
2.0%
정 45
 
1.6%
보 44
 
1.6%
Other values (280) 1522
55.6%
ASCII
ValueCountFrequency (%)
52
20.0%
) 50
19.2%
( 50
19.2%
O 8
 
3.1%
2 8
 
3.1%
n 6
 
2.3%
C 6
 
2.3%
1 6
 
2.3%
J 4
 
1.5%
e 4
 
1.5%
Other values (33) 66
25.4%

최종수정일자
Date

UNIQUE 

Distinct421
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2003-03-27 10:19:11
Maximum2024-04-15 15:39:27
2024-04-18T01:11:49.235745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:11:49.332882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
296 
U
125 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowU
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 296
70.3%
U 125
29.7%

Length

2024-04-18T01:11:49.424757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:49.497701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 296
70.3%
u 125
29.7%

데이터갱신일자
Date

Distinct115
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-04-18T01:11:49.581670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:11:49.687193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing421
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct319
Distinct (%)80.6%
Missing25
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean197445.38
Minimum169480.47
Maximum391259.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T01:11:49.794992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169480.47
5-th percentile190676.09
Q1192826.37
median194222.47
Q3195999.28
95-th percentile208789.63
Maximum391259.72
Range221779.25
Interquartile range (IQR)3172.9151

Descriptive statistics

Standard deviation20052.317
Coefficient of variation (CV)0.10155881
Kurtosis58.678214
Mean197445.38
Median Absolute Deviation (MAD)1689.5299
Skewness7.290088
Sum78188371
Variance4.0209542 × 108
MonotonicityNot monotonic
2024-04-18T01:11:49.905664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193610.797201552 8
 
1.9%
195588.796492288 8
 
1.9%
194122.587839595 5
 
1.2%
198284.078546351 5
 
1.2%
192892.379424772 4
 
1.0%
206577.195031701 4
 
1.0%
193466.85563968 4
 
1.0%
195445.432424349 4
 
1.0%
192264.922850068 3
 
0.7%
192857.053815113 3
 
0.7%
Other values (309) 348
82.7%
(Missing) 25
 
5.9%
ValueCountFrequency (%)
169480.473225734 1
0.2%
172977.967773349 1
0.2%
174791.159952708 1
0.2%
175238.155034206 1
0.2%
176202.542804683 1
0.2%
176263.467132052 1
0.2%
181117.371850416 1
0.2%
181560.613545 1
0.2%
182363.811966969 1
0.2%
185048.488111175 1
0.2%
ValueCountFrequency (%)
391259.724045313 1
0.2%
379070.980353991 1
0.2%
347288.545485117 1
0.2%
339634.266716 1
0.2%
339468.318026 1
0.2%
282185.943179315 1
0.2%
238707.479597 1
0.2%
238142.457223812 1
0.2%
233406.627612622 1
0.2%
222596.276769714 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct319
Distinct (%)80.6%
Missing25
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean439371.62
Minimum179030.15
Maximum481239.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T01:11:49.999591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179030.15
5-th percentile437427.1
Q1441800.3
median442271.6
Q3442644.32
95-th percentile449342.52
Maximum481239.65
Range302209.5
Interquartile range (IQR)844.02412

Descriptive statistics

Standard deviation24972.749
Coefficient of variation (CV)0.05683742
Kurtosis69.198565
Mean439371.62
Median Absolute Deviation (MAD)411.48876
Skewness-7.9307523
Sum1.7399116 × 108
Variance6.2363821 × 108
MonotonicityNot monotonic
2024-04-18T01:11:50.095853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442281.285348422 8
 
1.9%
442098.372819317 8
 
1.9%
442487.656391047 5
 
1.2%
441368.909286824 5
 
1.2%
442339.392489571 4
 
1.0%
455754.878548914 4
 
1.0%
442463.858277668 4
 
1.0%
442127.015243919 4
 
1.0%
442728.778918512 3
 
0.7%
442265.604854561 3
 
0.7%
Other values (309) 348
82.7%
(Missing) 25
 
5.9%
ValueCountFrequency (%)
179030.153240067 1
0.2%
192808.081388978 1
0.2%
258594.000838 1
0.2%
258848.890446 1
0.2%
300809.050086 1
0.2%
347590.536861 1
0.2%
354042.820193 1
0.2%
386547.835641761 1
0.2%
406280.531853824 1
0.2%
407041.875206909 1
0.2%
ValueCountFrequency (%)
481239.650407762 1
 
0.2%
464947.538929422 1
 
0.2%
462761.538177851 1
 
0.2%
459560.502536101 1
 
0.2%
457737.97090865 1
 
0.2%
457629.63752103 1
 
0.2%
457039.251750989 1
 
0.2%
455833.250203316 1
 
0.2%
455754.878548914 4
1.0%
453158.568236845 1
 
0.2%

법인구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
개인
298 
<NA>
83 
법인
40 

Length

Max length4
Median length2
Mean length2.3942993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row<NA>
5th row개인

Common Values

ValueCountFrequency (%)
개인 298
70.8%
<NA> 83
 
19.7%
법인 40
 
9.5%

Length

2024-04-18T01:11:50.201735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:50.288803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 298
70.8%
na 83
 
19.7%
법인 40
 
9.5%

구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
유료
338 
<NA>
83 

Length

Max length4
Median length2
Mean length2.3942993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유료
2nd row유료
3rd row유료
4th row<NA>
5th row유료

Common Values

ValueCountFrequency (%)
유료 338
80.3%
<NA> 83
 
19.7%

Length

2024-04-18T01:11:50.394532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:11:50.476923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 338
80.3%
na 83
 
19.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03200000198932000991451234520090731<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>151890서울특별시 관악구 신림동 1409번지<NA><NA>우리들2009-07-31 17:19:26I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
13200000199032000791150000119900110<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1451번지 29호 4통 9반서울특별시 관악구 관천로22길 36-1 (신림동)<NA>전용석직업소개소2004-08-13 14:48:21I2018-08-31 23:59:59.0<NA>193258.72378442928.447564개인유료
23200000199132000791150000119910603<NA>1영업/정상20영업중<NA><NA><NA><NA>02 886 6181<NA><NA>서울특별시 관악구 신림동 75-43서울특별시 관악구 남부순환로 1620, 4층 (신림동)08777남도직업소개소2020-12-15 08:41:00U2020-12-17 02:40:00.0<NA>193804.414217442437.451205개인유료
33200000199632000791150000119960101<NA>1영업/정상20영업중<NA><NA><NA><NA>02 876 1911<NA><NA>서울특별시 관악구 봉천동 1666번지 41호 3층서울특별시 관악구 남부순환로 1839, 3층 (봉천동)151834서울인력직업소개소2022-12-06 20:35:30U2021-11-02 00:08:00.0<NA>195912.004527442074.621613<NA><NA>
43200000199632000791150000219960429<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 광명시 하안동 호 주공아파트 201 1002<NA><NA>이용철직업소개소2004-12-20 14:19:48I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
53200000199632000791150000419960829<NA>3폐업40폐업20171026<NA><NA><NA>02 873 1488<NA>151822서울특별시 관악구 중앙동 871번지 67호 4층서울특별시 관악구 봉천로 461-1, 4층 (봉천동)151822(주)관악인력직업소개소2017-10-27 10:52:21I2018-08-31 23:59:59.0<NA>195629.63209442265.436122법인유료
63200000199632000991450002020080118<NA>1영업/정상20영업중<NA><NA><NA><NA>02 861 2688<NA>151018서울특별시 관악구 조원동 538번지 2호서울특별시 관악구 남부순환로 1471 (신림동)<NA>뉴서울인력직업소개소2012-10-12 11:13:41I2018-08-31 23:59:59.0<NA>192342.519274442214.191246개인유료
73200000199732000791150000119970701<NA>1영업/정상20영업중<NA><NA><NA><NA>02 877 7373<NA><NA>서울특별시 관악구 신림동 518번지 17호 10통 7반서울특별시 관악구 신사로 88, 2층 202호 (신림동)151015삼성인력직업소개소2018-12-18 18:44:37U2018-12-20 02:40:00.0<NA>192200.285143442683.091787개인유료
83200000199732000791150000219970804<NA>1영업/정상20영업중<NA><NA><NA><NA>02 874 0005<NA><NA>서울특별시 관악구 서원동 11번지 41호 3층서울특별시 관악구 남부순환로 1622, 3층 (신림동)151015주식회사 한성인력공사 직업소개소2022-12-06 20:33:52U2021-11-02 00:08:00.0<NA>193815.281623442442.683002<NA><NA>
93200000199732000791150000319970506<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 928번지 12호 5통 7반 102서울특별시 관악구 청룡4길 58, 102호 (봉천동)<NA>에덴직업소개소2005-12-06 17:45:20I2018-08-31 23:59:59.0<NA>194874.66632442118.02338법인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
411320000020233200224145000112023-11-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1683-14서울특별시 관악구 솔밭로 13 (봉천동)08741개미인력 서울관악구봉천점2023-12-29 15:40:02U2022-11-01 21:01:00.0<NA>196653.176805441847.958047<NA><NA>
412320000020243200224145000012024-01-12<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1638-1 삼모 더 프라임 타워 806호서울특별시 관악구 신원로 35, 삼모 더 프라임 타워 8층 806호 (신림동)08776에이스취업2024-01-12 17:56:57I2023-11-30 23:04:00.0<NA>193643.274304442230.03575<NA><NA>
413320000020243200224145000022024-01-15<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1655-20 201호서울특별시 관악구 남부순환로 1976, 2층 201호 (봉천동)08794오케이잡컨설팅2024-02-06 15:22:48U2023-12-02 00:08:00.0<NA>197104.582736441443.230282<NA><NA>
414320000020243200224145000032024-02-01<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 7-125서울특별시 관악구 관악로 255 (봉천동)08727베스트프렌즈 행정사 사무소2024-02-01 10:22:41I2023-12-02 00:03:00.0<NA>196130.766885442771.593859<NA><NA>
415320000020243200224145000042024-02-14<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 541 신림중앙시장 가동 10호서울특별시 관악구 조원로16길 27, 신림중앙시장 가동 2층 10호 (신림동)08767한마음인력 직업소개소2024-02-14 15:35:16I2023-12-01 23:06:00.0<NA>192096.34963442339.213627<NA><NA>
416320000020243200224145000052024-03-13<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 487-9 201호서울특별시 관악구 남부순환로 1529, 2층 201호 (신림동)08762든든인력2024-03-13 10:26:32I2023-12-02 23:05:00.0<NA>192892.379425442339.39249<NA><NA>
417320000020243200224145000062014-03-17<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>156-825서울특별시 동작구 사당동 1020번지 38호서울특별시 동작구 동작대로9길 18 (사당동)156-825참조은간병인협회2024-03-26 20:01:23I2023-12-02 22:08:00.0<NA>198206.783092442056.652647<NA><NA>
418320000020243200224145000072024-03-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1433-120서울특별시 관악구 남부순환로 1587, 4층 401호 (신림동)08759성공 일자리센터2024-03-26 20:00:37I2023-12-02 22:08:00.0<NA>193466.85564442463.858278<NA><NA>
419320000020243200224145000082024-04-15<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1525-10 동일빌딩 401호서울특별시 관악구 호암로26가길 18, 동일빌딩 (신림동)08812한국 전문직업파견센터2024-04-15 15:38:59I2023-12-03 23:07:00.0<NA>194062.487367440883.996618<NA><NA>
420320000020243200224145000092024-04-15<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1638-1 삼모 더 프라임 타워 809호서울특별시 관악구 신원로 35, 삼모 더 프라임 타워 8층 809호 (신림동)08776블렌드비2024-04-15 15:39:27I2023-12-03 23:07:00.0<NA>193643.274304442230.03575<NA><NA>